In order to more accurately extract the feature of source image and achieve the task of clothing-guided person image generation, we use decomposed attribute encoder for this part, inspired by [1]}. Figure REF  (right) shows the architecture of decomposed attribute encoder. As mentioned before, each channel of \(M_s\)  corresponds to an attribute of the human body, so we first uses heatmap \(M_s\)  to extract correspondence attributes \(I_s^i\)  of \(I_s\)  by
\(I_s^i=I_s \odot M_s^i\) 
